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Minimax-H3

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PlagueKind - Minimax H3 - Workflow - Ease of use

PlagueKind - Minimax H3 - LTX Workflow - Ease of use - Eros | Sulphur Compatible | FaceID

Minimax H3

V9 Notes

  • UPDATE NODEPACK TO V1.4.7 AND COMFYUI TO NEWEST VERSION. BEFORE EVEN DOWNLOADING THE WF.

  • New mode for sparse, comfy engine, better quality and faster.

  • Added Int8 Kernel.

  • I set 0.7 sparsity because it's not much slower on comfy engine, mess with it.

  • Added H3 cache, default is safe.

  • Added Bypass for R2V VAE.

  • Upscaling is still WIP, mess with it.

V8 Notes

  • Update nodepack to v1.4.3 first

  • Added my turbo lora, functional strength up to 5.0

  • Test default settings, they should be good for most prompts.

  • If you don't like mine on it's own, try blending the disabled fast lora with it, looks really good.

  • Res multi step simple also works well.

  • Added tiled upscaling, thanks to lora daddy.

V7 Notes

  • SLA has reference protection now, speeds up R2V signficantly, also fixed slowdown from max ref size. Turning it off gives a speed boost for barely any loss.
  • Added blocksize 32 to improve quality. if you want the old slightly faster behavior enter subgraph, set blocksize 64.
  • 768 Dareties turbo added combined with the old Dareties for 6 steps.
  • Use Seeds_2 + Sgm_Uniform for best quality. (slower, but 4 steps looks great). Old dareties 1str, or 768 at 0.75str
  • If using single audio sources like one voice, use shift 3 audio for cleaner voice. if there is music underneath and sound effects, try audio shift 5

V6 Notes

  • SLA node overhaul, vast improvement of control and quality.
  • Added ER_SDE ODE override.

V5.6 Notes

  • Unified resize now has Aspect ratio selector

  • Changed default sampler to sa_solver

  • I needed to make this because changing unified resize breaks old workflows. update nodepack before loading the workflow

V5.5 Notes

  • Major'ish Overhaul of the layout, and wiring.

  • Disabling Sparse falls back to comfy attention.

  • Sparse Density Notes:

    • 0.80-0.85 - "match pytorch quality"

    • 0.9 - Default - Minimal Degredation 15-20% faster than 0.85

    • 0.95 - HUGE boost for longer hi res generations, can introduce minor degredation

V5 Notes

  • I've added my Sparse attention node. No other speedups required. up to 2.5x speedup.

  • Switched to dareties lora. Use with shift 8/3 0.8 strength 6-8 steps. this lora works great for all modes.

  • Memory Chunking, if you go to high with sparse, it causes slow down. for me beyond 2-4 caused slowdown on 16gb vram.

  • Don't mess with the sparse settings on the subgraph unless you have to.

  • Make sure to update my node pack to atleast 1.3.1

  • Make sure you're on the newest pytorch+cu combo supported.

Support

If you find this project useful and want to support development:

Monero (XMR):

865BrcfWLdwELwuq5faV1uVTbh93zVK6AUYLY2c3mX6sFfAGRfS6axe1kBTYYKuM7ccN7zBZDAZvnT7E4NKmUazySdbpc7p

V4 Notes

  • Sage begone, welcome comfy attn. update comfyui, sage without sage issues.

  • Switched to 4 step 768 lora. Use with shift 6/3 0.8 strength 6-8 steps, or 1.0 with 4-6 steps.

  • Added hybrid model so you don't need to swap anymore, start with 25. 30 higher quality slightly less ref strength.

  • When ref swapping a video use er_sde/beta

  • Added original audio mode, avoids degradation and vae decode / Allows you to make music videos etc. it's in the reference subgraph.

  • Added minimax mode and mode selection to lora stack, so update node pack.

V3.1 Notes

  • Sage begone, welcome comfy attn. update comfyui, sage without sage issues.

  • Switched to 8 step new lora, these 2 new things combined behave very close to non turbo non sage.

V3 Notes

  • Added R2V mode.

V2.1 Notes

  • Added preview node.

V2 Notes

  • Added int8 convrot video vae

  • Kijai resized turbo lora, best at 0.6-0.7 strength.

  • Memory chunks return. huge speed up for me. 4 was pretty much the cap for 16gb vram.

Requirements

Diffusion Model

minimax_h3_hybrid_fl2va_ref2va_b25-49-int8.safetensors

minimax_h3_hybrid_fl2va_ref2va_b30-49-int8.safetensors

VAE

minimax_h3_audio_vae_fp32.safetensors

minimax_h3_video_vae_int8_convrot.safetensors

vae_approx/taeh3.safetensors

Text Encoder

qwen3vl_32b_minimax_h3_int8_convrot.safetensors

Frame Interpolation

film_net_fp16.safetensors

Latent Upscaler

minimax_h3_latent_upscaler_3d_bf16.safetensors

Turbo Loras

H3-PK-Parasyte-Turbo.safetensors

fasth3_6step.safetensors

supporting file required. make the folder models/h3_adaln

h3_silu_temb_grid.safetensors

V1.5 Notes

  • Added the option for T2V.

  • When using T2V, set scale mode of Target Dimension node to Dimensions (WxH) or you will get a square video.

  • Added FSR RCAS sharpening, 0.3 strength looks natural.

  • FFLF is unreliable at res above 640, don't know why, it's like this on default WF as well.

  • Target Dimension node controls the generation size only, refs are passed elsewhere.

  • Don't touch the other hidden resize nodes as they only control ref size and are set to max.

  • Euler + Linear Quadratic seems to be the best combo with between 15-20 steps.

  • I didn't add easy cache because it ruins the quality noticeably,

  • If you have time or a powerful card, try heunpp2 sampler. It's phenomenal.

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